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|Title: ||System of systems modelling and simulation: an outlook and open issues|
|Authors: ||Kinder, Andrew M.K.|
Siemieniuch, Carys E.
|Keywords: ||Systems of systems|
Agent based model
|Issue Date: ||2014|
|Publisher: ||© Inderscience Enterprises Ltd.|
|Citation: ||KINDER, A., HENSHAW, M. and SIEMIENIUCH C. E., 2014. System of systems modelling and simulation: an outlook and open issues. International Journal of System of Systems Engineering, 5 (2), pp. 150 - 192|
|Abstract: ||System of systems (SoS) engineering is an emerging sub-discipline, within which modelling and simulation is a key area. The failure of many SoS endeavours can be attributed to the inappropriate application of systems engineering processes, including modelling approaches. Selection of suitable
modelling approaches is critical to ensuring representative models are created, ensuring reliable SoS analysis and prediction of emergent behaviour is possible. Essential to SoS modelling is the dynamic element, enabling the generation of emergent behaviour, appropriate approaches including; discrete event system specification, Petri nets, agent-based modelling and system
dynamics. Bayesian belief networks, Markov models and game theory provide a static probabilistic approach, suitable for strategic, decision and risk models.
Enterprise architecture frameworks and modelling languages are typically used
for static modelling of SoS. A combination of static and dynamic approaches should be utilised, providing a range of perspectives, giving an insight into the complexity inherent in all SoS.|
|Description: ||This article is closed access.|
|Publisher Link: ||http://dx.doi.org/10.1504/IJSSE.2014.064835|
|Appears in Collections:||Closed Access (Mechanical, Electrical and Manufacturing Engineering)|
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